Bhargav VadlamudiStandard Convolution to Deformable Convolution — Part 1Prerequisites5 min read·Feb 24, 2021----
Bhargav VadlamudiWhy are deep neural networks hard to train (Vanishing & Exploding gradient )As we keep increasing the depth of the network with more and more hidden layers, we are increasing the network parameters and the network…5 min read·May 27, 2020----
Bhargav VadlamudiCross Entropy (What made use look for a new cost function)How did we find cross entropy ?3 min read·May 20, 2020----
Bhargav VadlamudiWhat is Activation FunctionWe know activation functions like sigmoid, softmax, relu… , why do we use these activation functions. Why can’t we simply pass the…2 min read·Apr 26, 2020----
Bhargav VadlamudiBack-propagation Part 2In part 1 we understood how moving in the direction of gradient of a function can be used to find the max value of that function.4 min read·Apr 25, 2020----
Bhargav VadlamudiGradient Descent Part 1 (What is Gradient)Gradient Descent is a strategy used in Neurol Networks to minimize the cost function. When I first heard about this work Gradient Descent…5 min read·Apr 16, 2020----
Bhargav VadlamudiinAnalytics VidhyaUse Pytorch to create an image captioning model with CNN and seq2seq LSTM on Google Colab GPUThe COCO dataset is used. We used the year 2014 data.3 min read·Dec 20, 2019----
Bhargav VadlamudiSimple Client Based Custom Object Detection APISteps to setup and use the Custom Object Detection API3 min read·Oct 21, 2019----